文章基本信息

标题：Automatic Data Normalization and Parameterization for Optical Motion Tracking
本地全文：下载
作者：Sadip Dessai ; Alexander Hornung ; Leif Kobbelt 等
期刊名称：Journal of Virtual Reality and Broadcasting
印刷版ISSN：1860-2037
出版年度：2006
卷号：3
期号：3
DOI：10.20385/1860-2037/3.2006.3
出版社：University of Applied Sciences Dusseldorf
摘要：Methods for optical motion capture often require timeconsuming manual processing before the data can be used for subsequent tasks such as retargeting or character animation. These processing steps restrict the applicability of motion capturing especially for dynamic VR-environments with real time requirements. To solve these problems, we present two additional, fast and automatic processing stages based on our motion capture pipeline presented in [HSK05]. A normalization step aligns the recorded coordinate systems with the skeleton structure to yield a common and intuitive data basis across different recording sessions. A second step computes a parameterization based on automatically extracted main movement axes to generate a compact motion description. Our method does not restrict the placement of marker bodies nor the recording setup, and only requires a short calibration phase.
关键词：Automatic Normalization and Parameterization;Optical Motion Capture